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移动滴灌系统土壤水分入渗试验与数值模拟
引用本文:张颢晖,严海军,惠鑫,赵赫,王文涛,郭辉.移动滴灌系统土壤水分入渗试验与数值模拟[J].农业工程学报,2023,39(6):158-168.
作者姓名:张颢晖  严海军  惠鑫  赵赫  王文涛  郭辉
作者单位:1. 中国农业大学水利与土木工程学院,北京 100083;;1. 中国农业大学水利与土木工程学院,北京 100083;2. 农业节水与水资源教育部工程研究中心,北京 100083
基金项目:国家牧草产业技术体系项目(CARS-34);河北省现代农业产业技术体系草业创新团队专项资金资助项目(HBCT2018160202);国家重点研发计划项目(2022YFD1300804)
摘    要:为减少大型喷灌机的喷灌水分蒸发漂移损失,将低压喷头改装成按适当间距布置的大流量压力补偿滴灌管,使大型喷灌机自走时拖拽滴灌管,实现边移动边滴灌。该移动滴灌系统融合了大型喷灌机与滴灌的技术优势,具有较高的节水潜力,研究其土壤水分入渗规律对于设计节水高效的灌溉系统具有重要意义。为确定移动滴灌管灌水后的土壤湿润体形状及土壤水分分布情况,该研究搭建了移动滴灌试验装置,设置30、40与50 mm 3种灌水深度进行移动滴灌土箱试验,同时利用HYDRUS-2D建立移动滴灌条件下的土壤水分运动数值模型。模拟与实测结果对比表明,所构建模型能较准确地反映移动滴灌的土壤水分运动规律,土壤剖面中的水分运动均遵循面源入渗模式,灌水后48 h土壤剖面含水率模拟值的标准均方根误差低于20%,各测点处含水率变化过程模拟的标准均方根误差值总体低于25%。利用所建模型分析了砂壤土、壤土与粉壤土3种不同的土壤质地,20、30与40mm3种不同的灌水深度以及0.050、0.075、0.100、0.125与0.150 cm3/cm3 5种不同的土壤初始含水率对移动...

关 键 词:土壤水分  入渗  灌溉  大型喷灌机  压力补偿滴头  数值模拟  HYDRUS-2D
收稿时间:2022/9/11 0:00:00
修稿时间:2023/2/20 0:00:00

Experiments and numerical simulations of soil water movement under mobile drip irrigation system
ZHANG Haohui,YAN Haijun,HUI Xin,ZHAO He,WANG Wentao,GUO Hui.Experiments and numerical simulations of soil water movement under mobile drip irrigation system[J].Transactions of the Chinese Society of Agricultural Engineering,2023,39(6):158-168.
Authors:ZHANG Haohui  YAN Haijun  HUI Xin  ZHAO He  WANG Wentao  GUO Hui
Institution:1. College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China;;1. College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China; 2. Engineering Research Center of Agricultural Water-Saving and Water Resources, Ministry of Education, Beijing 100083, China
Abstract:Abstract: The low-pressure sprinklers have to be modified to replace the high flow rate pressure-compensating driplines at a certain spacing, in order to reduce the wind drift and evaporation loss of large-sized sprinkler irrigation machines. This mobile drip irrigation (MDI) system can be used to realize drip irrigation when moving, due to the self-propelled characteristics of the irrigation machines. This system can be utilized to combine the center pivot and drip irrigation, leading to a large coverage area of irrigation, high automation, low evaporation and drift losses. It is necessary to optimize the design parameters for the soil water infiltration under mobile drip irrigation. Therefore, laboratory experiments were carried out with the MDI test system. The mobile dripline was dragged and moved on the soil surface of a lysimeter. EC-5 soil moisture sensors were installed in the lysimeter to detect the dynamic change of the soil water contents at observation points. The irrigation depth was controlled to adjust the speed of the dripline. Three irrigation depths were set as 30, 40, and 50 mm. A numerical model was established to improve the soil water infiltration and redistribution under MDI using HYDRUS-2D software. The comparison between the simulated and the measured data showed that the water movement in the soil profile under MDI was followed by the non-point source infiltration model, indicating the better agreement of the model with the measured. The NRMSE value of simulated water distribution in the soil profile was less than 20%, while the simulated water content change in the wetting body was generally lower than 25%, indicating the high accuracy of the model. HYDRUS-2D model was used to clarify the influences of three soil textures (sandy loam, loam, and silty loam), three irrigation depths (20, 30, and 40 mm), and the five initial soil water contents (0.050, 0.075, 0.100, 0.125, and 0.150 cm3/cm3) on the soil water movement under MDI. The HYDRUS-2D performed better to simulate the soil water distribution after irrigation under the MDI system. The simulation results show that the soil texture posed a great impact on the shape and size of the wetting body. Specifically, the stronger the soil sandiness was, the larger the wetting front transport distances were, suitable for the larger installation spacing of driplines. However, much attention should be paid to avoiding the deep percolation of the soil with a coarser texture. In addition, the root distribution of crops should be considered, when designing an irrigation system, or a smaller dripline spacing should be used for the finer soil texture. Therefore, the high irrigation depth and the initial soil water content can be expected to increase the transport distance of the wetting front in the tested sandy loam. As such, irrigation uniformity can be improved to overcome the greater risk of deep percolation. These findings can offer practical significance for the decision-making on the mobile drip irrigation system.
Keywords:soil moisture  infiltration  irrigation  large-sized sprinkler irrigation machine  pressure-compensating emitter  numerical simulation  HYDRUS-2D
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